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definitions of "linear" (with application to Sig Figures)



At 10:51 AM 2/1/00 -0500, Richard Bowman wrote in part:
>
4. The usual "rules" only apply to linear functions.

I would like to remind everybody that there exist two grossly inconsistent
definitions of "linear".

Definition 1: A "linear transformation" (A) obeys the rules
A(x + y) = A(x) + A(y)
and (for any scalar t)
A(t x) = t A(x)

Definition 2: A "linear equation" is anything of the form
A(x) = m x + b

--------

In particular note a linear equation represents a linear transformation if
and ONLY if the y-intercept (b) happens to be zero.

Constructive suggestions: To avoid ambiguity:
*) A linear equation can be called a first-order polynomial, or
(preferably) a first-degree polynomial. It can also be called an affine
transformation.
*) A linear transformation can be called a proportionality relationship.

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Also at 10:51 AM 2/1/00 -0500, Richard Bowman wrote in part:
>
I let my students simply
treat trig functions as if they are linear. Thus three digits in angle
implies three digits in sin or cos, etc.

That version of the rule applies only to proportionality laws. It doesn't
even apply to first-degree polynomials. It certainly isn't a good way to
think about trig functions. Example: suppose we know the angle
theta = 89.3(1) [roughly 3 sig digs]
then we can calculate
tan(theta) = 82(13) [roughly 1 sig dig]
sin(theta) = 0.999925(23) [roughly 5 sig digs]

This example does _not_ depend on nonlinearity. Nonlinearity is rarely
more than a minor contribution to the error propagation. A more relevant
thing to consider is the magnitude of the first derivative [dA/dx] and its
relationship to the chordal slope [A(x)/x]. Tan(theta) is very steep
compared to its chordal slope, while sin(theta) is very nearly horizontal
(given the aforementioned value of theta).